Case Study: VAL Software achieves +17 matching accuracy points with Rakam AI

Val Software boosts matching accuracy by 17 points with Rakam AI

Val Software, an ERP handling student administration, faced challenges in improving the accuracy and adoption of its AI recruitment matching module. They partnered with vendor Rakam AI to enhance their system's ability to parse CVs and job posts effectively and to provide recruiters with justifiable matches rather than simple scores.

Rakam AI implemented a solution featuring structured parsing, hybrid retrieval, and multi-dimensional matching. This systematic approach of optimizing 28 model configurations resulted in a gain of 17 accuracy points over Val Software's baseline, significantly improving the matching precision for their recruitment module.

Val Software